The Practice Research of Teachers Portrait Under the Background of AI-based Precision Teaching Research
The development of teacher education is an essential component of educational modernization.Precision education research based on refined data management and scientific decision-making provides new means for teacher professional development.This study,focusing on the core of teacher group portrait technology,constructs a framework for group portrait and utilizes data provided by the NCET Intelligent Training Platform.It specifically investigates the key characteristics of"good classes"in the field of mathematics,and establishes a label system for teacher group portraits.Moreover,by grouping different teacher cohorts according to three-dimensional features such as position,subject,and school,the study reveals the characteristics and classroom patterns of teacher groups through normative analysis,feature analysis,and difference analysis.The findings suggest that group portraits not only facilitate the formulation of personalized teacher growth plans but also promote interdisciplinary and cross-campus collaborative innovation,driving data-driven educational decision-making and enabling continuous improvement and dynamic evaluation of educational quality.
precise teaching and researchgroup portraitpractical research
万方数据
维普
